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--- |
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task_categories: |
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- text-generation |
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- text2text-generation |
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language: |
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- en |
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tags: |
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- coding |
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- code generation |
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- atcoder |
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- programming contests |
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pretty_name: Atcoder Regular Contests |
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size_categories: |
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- 1M<n<10M |
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--- |
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## Dataset Description |
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- **Homepage:** None |
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- **Repository:** <https://huggingface.co/datasets/Nan-Do/atcoder_arc_contests> |
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- **Paper:** None |
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- **Leaderboard:** None |
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- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do) |
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### Dataset Summary |
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- This dataset aims to **facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding** |
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that could be used for **training reasoning Large Language Models (LLMs)**, particularly for **Supervised Fine-Tuning (SFT) and Knowledge Distillation** techniques. |
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- It also serves as a **robust foundation for problem-solving** in Large Language Models (LLMs). |
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- The dataset includes both **accepted and failed solutions** from Atcoder Regular Contests (ARC). |
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- It covers contests from **ARC** contest **58** (previous contests only have the statements in japanese) up to **ARC** contest **199** **(Jun 6, 2025)**. |
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- In total, it features **736 unique problems** and **3,104,794 submissions** across over **50 different programming languages** (including the different versions). |
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(**This dataset is not accessible to the public, please do not contact me regarding its access.**) |
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### Languages |
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The problem descriptions are in English. |
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The dataset includes submissions in various programming languages, each with specific language and compiler versions. |
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For example, for **C++**: |
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Version | Compiler |
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:--------|:--------- |
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C++ 20 | Gcc 12.2 |
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C++ 17 | Gcc 12.2 |
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C++ 23 | Gcc 12.2 |
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C++ 23 | Clang 16.0.6 |
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C++ 20 | Clang 16.0.6 |
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C++ 17 | Clang 16.0.6 |
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C++ | GCC 9.2.1 |
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## Status |
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The status indicates the outcome of each submission. |
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Below is an explanation of the status values, their meanings, and their totals: |
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Value | Meaning |
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:-----|:-------- |
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AC | Submission Accepted |
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WA | Wrong Answer |
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RE | Runtime Error |
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TLE | Time Limit Exceeded |
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MLE | Memory Limit Exceeded |
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### Data Splits |
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There are no splits (Only training). |
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## Dataset Creation |
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Jun of 2025 |
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### Curation Rationale |
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This dataset was designed to enhance the **coding** and **problem-solving** capabilities of LLMs by providing |
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**sophisticated multi-turn dialogues** focused on coding. See [AtCoder COT](https://huggingface.co/datasets/Nan-Do/atcoder_cot). |
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### Source Data |
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The source of the dataset is [Atcoder's contests](https://atcoder.jp/) |
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### Annotations |
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The dataset includes the following columns: |
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- **contest_number**: ID of the contest (e.g., arc-122, just the numeric identifier). |
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- **task**: Task identifier within the contest (e.g., A). |
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- **statement**: Markdown explanation of the problem. |
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- **score**: Score awarded for the task (e.g., 100). |
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- **title**: Title of the problem. |
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- **language**: Programming language used for the solution (see previous table for details). |
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- **status**: Outcome of the submission (see previous table for details). |
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- **execution_time**: Time taken by the submission in milliseconds. |
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- **execution_memory**: Memory used by the submission in kilobytes |
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- **code**: Code that solves the problem. |
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- **code_size**: Size of the code in bytes. |
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If you have any suggestion, comment or proposal, please contact me [here](mailto:[email protected]) |
